Graduate Student Seminar
February 27, 2026
10:00 a.m. ET
CUC McConomy Auditorium
AI meets Peer Review: The Good, The Bad, and The Ugly
We discuss three facets of AI in Peer Review:
(1) The Good: What AI can do in peer review that human reviewers do not;
(2) The Bad: How fraudsters can game vulnerabilities in the use of AI in the review process;
(3) The Ugly: Autonomous AI scientists have great promise, but also suffer from critical methodological pitfalls.
The talk will build on this blog post, "May the AI Be With Science."
Nihar Shah
Associate Professor, Machine Learning and Computer Science
Carnegie Mellon University
Shah's research focuses on the evaluation of science and the science of evaluation. His group develops computational tools with strong theoretical guarantees, and also designs and conducts controlled experiments for evidence-based policy design. His work has been used in the review of well over hundred thousand papers and thousands of proposals, in over two hundred venues. He is a recipient of the Young Alumnus Medal from the Indian Institute of Science, a JP Morgan faculty research award, Google Research Scholar Award, an NSF CAREER Award 2020-25, the 2017 David J. Sakrison memorial prize from EECS Berkeley for a "truly outstanding and innovative PhD thesis", and several Best Paper Awards.